Sustainability Analysis of Energy Resources Transport Based on A Digital N-D Logistics Network

Sergey Evgenievich Barykin1,Email

Sergey Mikhailovich Sergeev2,Email

Vyacheslav Vasilyevich Provotorov3

Kristina Konstantinovna Lavskaya4

Kseniia Andreevna Shidlovskaya5

Natalia Dedyukhina6

Oleg Mikhov7

Vasilii Buniak8

Madinat Yunuskadievna Dzhamaludinova9

1Graduate School of Service and Trade, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia.
2Graduate School of Industrial Management, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia.
3Mathematics Department, Voronezh State University, 394006 Voronezh, Russia.
4Graduate School of Service and Trade, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia.
5Department of Economics, St. Petersburg Mining University, 199106 St. Petersburg, Russia.
6Department of Accounting and Audit, Emperor Alexander I St. Petersburg State Transport University, 190031 St. Petersburg, Russia.
7Department of Logistics and Supply Chain Management, St. Petersburg State University of Economics, 191023 St. Petersburg, Russia,.
8Financial University under the Government of the Russian Federation (Moscow) St. Petersburg branch, 197198, Syezhinskaya Str., 15-17, St. Petersburg, Russia.
9Department of State and Municipal Administration, Dagestan State University (DSU), 367000, Republic of Dagestan, Makhachkala, Russia.

 

Abstract

This study employs an analytical approach to scrutinize the dynamics of network streaming phenomena, specifically the transfer processes of continuous and discrete traffic flows across n-dimensional network structures. Introducing an evolutionary differential system in a generalized framework, we establish a summable function as a generalized solution that satisfies a crucial integral identity. This reliance on generalized solutions enhances the precision in depicting the physical nature of transported flows and elucidates the study of dynamic processes within multidimensional network-like domains. Employing a mathematical model, we apply it to n-dimensional flows with distributed parameters in network models. Our approach leverages generalized solutions and the construction of a compact family of approximations within the chosen state space. The results shed light on fundamental challenges related to optimal control and stabilization of differential systems, encompassing those with delays. Furthermore, the study unveils optimal and sustainable energy delivery strategies for both short and long-term scenarios. Notably, utilizing a digital N-D logistics network with real-world data facilitates a thorough assessment of the environmental sustainability implications of energy resource transport operations. These findings underscore the system's efficacy in guiding policymakers toward formulating sustainable energy policies for a greener future.

Sustainability Analysis of Energy Resources Transport Based on A Digital N-D Logistics Network